Senior Manager, Finance Data Lead

Senior Manager, Finance Data Lead

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Primary Purpose of Position:
The Senior Manager, Finance Data Lead is the accountable product owner for the analytics product portfolio within an assigned business domain (e.g., Finance, Procurement, Manufacturing, Commercial). This role reports to the Director, Analytics Products and operates as the enterprise product delivery layer for a defined function / business domain — owning the full lifecycle of analytics products from backlog prioritization through adoption and lifecycle management.

Essential Responsible Areas:

• Domain Backlog Ownership & Prioritization
• Data Layer Readiness & Quality Gates
• Analytics Product Delivery & Release Validation
• User Adoption & Product Health
• Product Lifecycle Management
• Team Leadership & Operating Standards

Professional & Education

Qualification:

Bachelor's degree in Information Systems, Business Analytics, Computer Science, Business Administration, or related field required. Master's degree in a quantitative, information management, or business discipline preferred. MBA considered if combined with hands-on analytics product delivery experience. 6+ years in data analytics, business intelligence, or analytics product management roles within large enterprise environments 3+ years leading teams — direct or matrixed — with accountability for analytics product delivery and adoption outcomes Experience operating as a product owner for business intelligence or analytics portfolios: backlog management, prioritization, release governance, and lifecycle management Familiarity with Databricks (Delta Live Tables, Unity Catalog) or equivalent cloud data platforms — ability to partner with Data Engineering on Silver→Gold layer readiness Hands-on experience delivering Power BI semantic models, certified datasets, and enterprise dashboards at scale Experience defining and tracking product health metrics: adoption rates, utilization, business rhythm integration, and self-service rates Strong stakeholder management across business and IT — able to drive backlog prioritization conversations with VP/Director-level business leaders Experience in manufacturing, industrial, or complex multi-domain enterprise environments — familiarity with Finance, Supply Chain, Procurement, or Commercial data Familiarity with agile delivery rituals and their application in data/analytics product contexts Background operating in a product-based or federated data operating model within a CDO or Data Services organization

Required Knowledge Areas:

• Operates with a product mindset, not a project mindset; understands that backlog prioritization, adoption accountability, and lifecycle management are ongoing commitments, not one-time events
• Understands the Silver→Gold data model well enough to enforce quality gates and sequence work appropriately with engineering partners; does not need to build pipelines but must be able to evaluate readiness
• Treats user adoption as a product design and change management challenge, not a training event; embeds adoption targets in acceptance criteria from day one
• Translates product health metrics, release risks, and backlog trade-offs into business value language for Director, CIO, and functional leader audiences
• Skilled at driving outcomes through business owners, engineering partners, and governance structures without direct authority over all contributors
• Comfortable operating in maturing data organizations; can enforce standards and deliver outcomes even when tooling, processes, or data inventories are still being built out

Compensation & Benefits:
Expected Hiring Salary Range: $115,000 - $164,300 (Salary to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.) This role…